This indicator allows to measure the harmful predictions of a model, in particular when mis-labeling images of people.
These harms can be bigger if the type of predicted labels are derogatory or reinforce harmful stereotypes [1]}, [2]}.
As proposed in the benchmark [3]}, we study the predictions with a confidence threshold of \(0.1\)  [4]}.
This is in contrast to reporting the top-5 predicted labels, irrespective of confidence.
We compare our models with two baselines and report the results of this study in Table REF .
